Optimization of electrospinning process of poly(vinyl alcohol) via response surface methodology (RSM) based on the central composite design

Yazdanpanah, Mina; Khanmohammadi, Mohammadreza; Aghdam, Ruhollah Mehdinavaz; Shabani, Keyvan; Rajabi, Masoud

doi:10.5267/j.ccl.2014.5.001

Cited by 23 publications

(6 citation statements)

References 19 publications

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“…Hence, CCD seems to be an efficient approach for designing, analyzing, modeling, and optimizing the electrospinning process, and it is a technique with several influential variables. 21 Also, the RSM was used by Pirsa et al for optimizing the carboxymethyl cellulose/gelatin/TiO 2 -Ag nanocomposite antioxidant/antimicrobial film. 31 The application of artificial intelligence approaches in mechanical engineering has been gradually increasing in the last two decades.…”

Section: Introductionmentioning

confidence: 99%

“…So, a systematic investigation of the parameter impacts on experimental output is essential. 21,22 Among the many statistical methods, response surface methodology (RSM) is a useful method for designing and optimizing an experiment. Through this method, an empirical model to express the relationship between the variables and responses is established.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and optimization of the core-shell nanofibrous composite mat as a scaffold via hybrid models

Haghdoost

Razbin

Bahrami

et al. 2022

Journal of Industrial Textiles

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It has been a challenging subject for researchers to manipulate the electrospinning key factors to achieve a composite nanofiber with proper properties. In this study, an experiment according to central composite design to investigate the effect of parameters including polyvinylpyrrolidone concentration, zeolite concentration, voltage, core flow rate and shell flow rate on diameter, maximum strength and porosity of polyethersulfone/polyvinylpyrrolidone/zeolite core-shell composite nanofiber has been designed. Later on, two sets of models consisting of response surface methodology and artificial neural network are trained. Then, their performance was evaluated based on the definition of a novel goodness function. In the next step, the genetic algorithm is used to find the optimal design for scaffold applications. The results demonstrated that the average goodness value of models based on an artificial neural network ([Formula: see text] 1.999) is higher than response surface methodology ones ([Formula: see text] 1.780). Additionally, the genetic algorithm was able to find an optimal design with lower cost value (0.006) than the optimum sample (0.113) among the produced ones. Finally, the scanning electron microscopy micrographs highlighted that there is a strong and good cell proliferation on the selected design of nanofiber composite mat as the optimum scaffold.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of the core-shell nanofibrous composite mat as a scaffold via hybrid models

Haghdoost

Razbin

Bahrami

et al. 2022

Journal of Industrial Textiles

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“…Rabbi et al [19] evaluated the quantitative relationship between electrospinning process variables and the average diameter of polyurethane (PU) nanofibers by RSM technique. Yazdanpanah et al [24] have also studied the role of polymer concentration, applied voltage, distance, flow rate, and interaction effects on the diameter of poly(vinyl alcohol) (PVA) nanofibers using CCD in RSM factorial design. It, thus, appears that CCD is an effective technique for designing, analyzing, modeling, and optimizing electrospinning process, which is a method with several influence variables.…”

Section: Introductionmentioning

confidence: 98%

Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

2015

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Electrospinning process is a very important technique for fabricating polymeric nanofibers by applying external electrostatic forces. This study reports on the modeling of the electrospinning process of polyvinylpyrrolidone (PVP), using response surface methodology (RSM) based on the central composite design (CCD). The individual and the interaction effects of the most effective variables such as PVP concentration (10, 14 and 18 wt%), applied voltage (13, 17 and 21 kV), nozzle-collector distance (10, 15 and 20 cm) and solvent type (N,N-dimethylformamide (DMF) and ethanol) on the average and coefficient of variation of the nanofiber diameter were investigated in the optimization section. The CCD analysis confirmed that solvent type and PVP concentration were the main significant variables affecting the average PVP nanofiber diameters. The predicted nanofiber diameters were in good agreement with the experimental results according to CCD technique. High regression coefficient between the variables and the mean diameter (R 2 =0.9468) indicates excellent evaluation of experimental data by quadratic polynomial regression model. The RSM model predicted the 166 nm value of the finest nanofiber diameter with high uniformity at conditions of 13 wt% PVP concentration, 15 kV of the applied voltage, and 20 cm of nozzle-collector distance with used DMF for solvent in electrospinning process. The predicted value (166 nm) showed only 3.47 %, difference with experimental results in which 172 nm at the same setting were observed. The obtained CCD results confirmed that the selected RSM model presented appropriate performance for evaluating the involved variables and prediction of PVP nanofibers surface morphology.

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“…Central composite design (CCD) is one of the appropriate experimental design methods which provides high-quality predictions during the study of linear, quadratic, and interaction effects of parameters [13]. Further, based on the central composite experimental design, Response Surface Methodology (RSM) is an efficient technique to study the interaction effects in a multivariable system for attaining the optimum conditions [14]. RSM is a useful model to study the effect of multiple factors by varying them simultaneously by carrying out a limited number of experiments.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Nylon 6 electrospun nanofiber diameter in needle-less wire electrode using central composite design and response surface methodology

Panda¹,

Gangwar²,

Thite³

2021

Journal of Industrial Textiles

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In this study, Nylon 6 nanofiber were prepared by needle-less wire electrospinning technique. Since, the fiber diameter determines the porosity, filtration efficiency, and mechanical properties of electrospun nanofiber mat, Central Composite Design (CCD) and Response Surface Methodology have been employed to design the experiments and evaluate the interactive effects of the operating variables such as concentration of the polymeric solution, the distance between two electrodes, applied voltage, and relative humidity (RH%) on the diameter of the Nylon 6 nanofiber. With this connection, an objective of this study was to find out the most influential variables for the finest nanofiber diameter during the spinning with wire type electrode to make the highest possible effective face mask without the addition of any functional additives in it. The overall results show that the combined effect of 12% polymer concentration, 65% RH, 155 mm distance between two electrodes, and 40 kV applied positive voltage have the strongest surface response and are the most significant than the other interactive effects. The Pareto chart illustrates the order of significance affecting the Nylon 6 nanofiber diameter in the order of concentration of the polymeric solution, RH%, the distance between electrodes, and applied positive voltage. Further, bacterial filtration efficiency% of the control sample and five-layer facemask incorporated with optimized nanofiber membrane was found to be 87.4% and 97.5%, respectively, against Staphylococcus Aureus ATCC 6538 bacteria.

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Optimization of electrospinning process of poly(vinyl alcohol) via response surface methodology (RSM) based on the central composite design

Cited by 23 publications

References 19 publications

Modeling and optimization of the core-shell nanofibrous composite mat as a scaffold via hybrid models

Modeling and optimization of the core-shell nanofibrous composite mat as a scaffold via hybrid models

Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

Optimization of Nylon 6 electrospun nanofiber diameter in needle-less wire electrode using central composite design and response surface methodology

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